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Testing41k · #4952

shellcheck-configuration

Helps your agent check shell script quality. It's useful for finding and fixing errors, and ensuring scripts work across systems.

What it does

This guide teaches you how to use ShellCheck to find errors and improve the quality of your script code. It helps ensure your scripts work well in different environments.

When to use it

  • ✓When setting up tools to automatically check your scripts.
  • ✓When you want to fix problems in an existing script.
  • ✓To understand the warnings and errors ShellCheck shows.

Example of what to ask your AI

“How do I set up ShellCheck to check my scripts before I commit them?”

Want more? Open the sections below.

How to use

The easiest way: copy the message below and paste it into Claude, ChatGPT, Cursor or any AI. It reads the skill and follows the instructions.

Skill link

https://github.com/wshobson/agents/blob/main/plugins/shell-scripting/skills/shellcheck-configuration/SKILL.md

Ready-to-paste message

Use this skill to help me: https://github.com/wshobson/agents/blob/main/plugins/shell-scripting/skills/shellcheck-configuration/SKILL.md Read the SKILL.md file at that link and follow its instructions for my task.
How it works

ShellCheck analyzes your script code without running it, looking for patterns that commonly cause problems. It alerts you to these issues so you can fix them.

Installation

Easiest way: copy the skill link and paste it into Claude, ChatGPT or Cursor asking it to follow the instructions.

In the terminal (Claude Code, Codex, Cursor), in your project folder:

npx skills add wshobson/agents --skill shellcheck-configuration

Or download just the file:

curl -L https://raw.githubusercontent.com/wshobson/agents/main/plugins/shell-scripting/skills/shellcheck-configuration/SKILL.md -o SKILL.md
Technical content (original SKILL.md)

Original text by the author, straight from GitHub.

ShellCheck Configuration and Static Analysis

Comprehensive guidance for configuring and using ShellCheck to improve shell script quality, catch common pitfalls, and enforce best practices through static code analysis.

When to Use This Skill

  • Setting up linting for shell scripts in CI/CD pipelines
  • Analyzing existing shell scripts for issues
  • Understanding ShellCheck error codes and warnings
  • Configuring ShellCheck for specific project requirements
  • Integrating ShellCheck into development workflows
  • Suppressing false positives and configuring rule sets
  • Enforcing consistent code quality standards
  • Migrating scripts to meet quality gates

Detailed patterns and worked examples

Detailed pattern documentation lives in references/details.md. Read that file when the navigation tier above is insufficient.

Best Practices

  1. Run ShellCheck in CI/CD - Catch issues before merging
  2. Configure for your target shell - Don't analyze bash as sh
  3. Document exclusions - Explain why violations are suppressed
  4. Address violations - Don't just disable warnings
  5. Enable strict mode - Use --enable=all with careful exclusions
  6. Update regularly - Keep ShellCheck current for new checks
  7. Use pre-commit hooks - Catch issues locally before pushing
  8. Integrate with editors - Get real-time feedback during development
FAQ

What is 'linting'?

Linting is the process of analyzing your code to find style errors, potential bugs, and other issues before running the program.

Why is it important to configure ShellCheck for my specific shell?

Different shells (like bash or sh) have slightly different rules. Configuring correctly ensures ShellCheck checks your script according to the rules of the shell you intend to use.

What does 'suppress false positives' mean?

Sometimes, ShellCheck might warn about something that isn't actually a problem in your specific case. 'Suppressing' means telling ShellCheck to ignore that specific warning, but it's good to explain why you're doing it.

Details

Original description by the author

Master ShellCheck static analysis configuration and usage for shell script quality. Use when setting up linting infrastructure, fixing code issues, or ensuring script portability.

repo: wshobson/agents

Popularity

GitHub stars
41k
Ranking position
#4952
License
MIT
Updated
10/15/2026

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